Triple
T33737241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mother of Dragons |
E864453
|
entity |
| Predicate | firstUsedInFranchise |
P57780
|
FINISHED |
| Object | A Song of Ice and Fire |
E69635
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: A Song of Ice and Fire | Statement: [Mother of Dragons, firstUsedInFranchise, A Song of Ice and Fire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstUsedInFranchise Context triple: [Mother of Dragons, firstUsedInFranchise, A Song of Ice and Fire]
-
A.
firstAppearanceFranchise
chosen
Indicates the franchise in which an entity made its first appearance.
-
B.
firstUsedInGame
Indicates the game in which something (such as an item, mechanic, or concept) was first introduced or appeared.
-
C.
firstUsedInSeason
Indicates the season in which something (such as a character, item, or concept) was first introduced or used.
-
D.
firstMentionedInSeries
Indicates the work, episode, or installment in a series where a given entity is introduced or appears for the first time.
-
E.
firstPublicationYearOfAppearance
Indicates the year in which an entity (such as a work or character) first appeared in a published form.
- F. None of above.
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f3498b24b8819096a65009e521d0e1 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037e0953908190b2930b3c06a40129 |
completed | May 12, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a36657332ec8190acb9b5a0d59448d1 |
completed | June 20, 2026, 10:03 a.m. |
| PD | Predicate disambiguation | batch_6a0379f6c3308190b954f7810214ceed |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:44 a.m.